LI Y M,XIANG Q Y,DENG X L,et al. Evaluation of landslide susceptibility in Nujiang prefecture based on optimized MaxEnt model［J］.Journal of Henan Polytechnic University( Natural Science) ，doi:10.16186/j.cnki.1673-9787.2023070010.

Received：2023/07/06

Revised：2023/09/14

Online：2024/01/02

Evaluation of landslide susceptibility in Nujiang prefecture based on optimized MaxEnt model

LI Yimin1，2，XIANG Qianying3，DENG Xuanlun1，FENG Xianjie3

 1.School of Earth Sciences，Yunnan University，Kunming 650500，Yunnan，China；2.Yunnan University Engineering Research Center of High-resolution Satellite Remote Sensing，Yunnan University，Kunming 650500，Yunnan，China；3.Institute of International Rivers and Ecological Security，Yunnan University，Kunming 650500，Yunnan，China

Abstract: Objective Nujiang Prefecture is a typical alpine canyon area.Landscape geological disasters are frequent，which seriously restricts local development.It is urgent to carry out sensitive evaluation.Methods Comprehensively considering the actual situation of Nujiang Prefecture，14 influencing factors such as slope direction and elevation were selected from five aspects of meteorology and hydrology，topography and geomorphology，stratigraphic lithology，vegetation ecology and human activities to judge the correlation，build an evaluation index system，and analyze the MaxEnt model feature combination（FC） and regularization multiplier （RM） parameters were optimized，and the akaike information criterion（AICc），Omission Rate（OR） and AUC（area under curve） value，and then based on the optimized MaxEnt model to predict the occurrence of landslide hazards，to realize the sensitivity evaluation of landslide in Nujiang Prefecture.Results The optimized MaxEnt model was suitable for landslide sensitivity prediction（AUC=0.913）.Jackknife method was used to calculate the influence degree of each influencing factor on sensitivity，such as elevation（S3，23.2%），slope（S9，22.4%），settlement density（S5，14.2%），distance from river（S13，13.7%），distance from road（S4，9.6%） and lithology（S7，8.7%） is the top six factors，with a cumulative contribution of 91.8%；The spatial proportions of extremely high，high，medium and low landslide susceptibility levels were 4.88%，8.96%，18.40% and 67.76%，respectively.The highest proportion of extremely high and high susceptibility areas was found in Lushui City.On the whole，extremely high and high susceptibility areas were mainly distributed in valleys along rivers and roads，while low susceptibility areas were mainly distributed in areas with little human activities and undeveloped river valleys.Conclusion The optimized MaxEnt model is more suitable for landslide sensitivity prediction in Nujiang Prefecture，and the research results can provide reference for disaster prevention and reduction and land use planning in Nujiang Prefecture.

Key words:Nujiang State；maximum entropy（MaxEnt）model；landslide；susceptibility

CLC:P694